نتایج جستجو برای: additive hazards model
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We provide an overview of semiparametric models commonly used in survival analysis, including proportional hazards model, proportional odds models and linear transformation models. The applications of these models to different types of censored data, either univariate or multivariate survival analysis, are given. For each case, inference procedures using censored observations are discussed. & 2...
Long-term absenteeism due to sickness has been increasing in the past two decades. This has raised many questions about causes, financing, and policy measures to prevent further increases. Answering these questions is even more important in a society with an aging population, which is expected to record even more cases. With data from the Swedish National Insurance Board, proportional hazards m...
The cause-specific hazard function plays an important role in developing the regression models for competing risks survival data. Proportional hazards and additive are commonly used approaches analysis. Mostly, literature, proportional model was parametric modelling of In this article, we introduce a analysis with risks. For employing consider modified Weibull distribution as baseline which is ...
BACKGROUND The reduction of crime is an important outcome of opioid maintenance treatment (OMT). Criminal intensity and treatment regimes vary among OMT patients, but this is rarely adjusted for in statistical analyses, which tend to focus on cohort incidence rates and rate ratios. The purpose of this work was to estimate the relationship between treatment and criminal convictions among OMT pat...
We prove that any stable, additive, combinatorial model category M has a canonical model enrichment over Sp(sAb) (symmetric spectra based on simplicial abelian groups). So to any object X ∈ M one can attach an endomorphism ring object in this category, denoted hEndad(X). Since the homotopy theory of ring objects in Sp(sAb) is equivalent to the homotopy theory of differential graded algebras, on...
data envelopment analysis (dea) is a technique used to evaluate the relative efficiency of comparable decision making units (dmus) with multiple input-output. it computes a scalar measure of efficiency and discriminates between efficient and inefficient dmus. it can also provide reference units for inefficient dmus without consideration of the decision makers’ (dms) preferences. in this paper, ...
Background : One of the most important complications of diabetes, is diabetic retinopathy that causes the blindness of 10,000 people every year. Different researches have been done on retinopathy risk factors in diabetic patients. This study was carried out to check the type of relationship between retinopathy risk factors and the condition of temptation it with generalized additive models. T...
to estimate combining ability and the model of gene action for some quantitative characters, 5 different rice genotypes were used for producing a half diallel hybrids. to consider 7 quantitative traits, hybrids and their corresponding parents were evaluated based on a randomized complete block design with three replications at the rice research station of amol, iran in 2007. mean squares regard...
maternal effects on body weight at 8 weeks of age (bw8w), egg weight (ew), egg number (en) and age at sexual maturity (asm) from 13 generations of mazandaran native fowl were investigated. the data were analyzed using restricted maximum likelihood procedures and animal model with dfreml software. with or without using maternal effects, six different animal models were fitted. likelihood ratio t...
MOTIVATION There has been an increasing interest in expressing a survival phenotype (e.g. time to cancer recurrence or death) or its distribution in terms of a subset of the expression data of a subset of genes. Due to high dimensionality of gene expression data, however, there is a serious problem of collinearity in fitting a prediction model, e.g. Cox's proportional hazards model. To avoid th...
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